Agenta

agenta.ai
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Agenta helps teams build, test, and manage reliable AI applications.

Description

The open-source workspace for your agents. · Agenta is the open-source workspace for your agents. Build agents through chat, improve them with feedback, and share them with your whole team — self-hosted or in the cloud. · An agent for every job · Do the work in chat. Then automate it. · Build agents you can trust · Ship agents that actually work

Agenta is a platform for building production-grade LLM applications. It helps engineering and product teams create reliable LLM apps faster. Agenta provides end-to-end tools for the entire LLMOps workflow: building (LLM playground, evaluation), deploying (prompt and configuration management), and monitoring (LLM observability and tracing).

Features

LLM Playground
Prompt Management
Automatic Evaluation (LLM-as-a-judge, Custom code, RAG evals)
Human evaluation
LLM Observability
LLM Monitoring

Use cases

Agentic RAG
Classification
Report generation
AI Assistants

FAQ

Agenta is an open-source LLMOps platform designed to help developers and product teams efficiently build, manage, and deploy reliable large language model (LLM) applications. It supports the full LLM development lifecycle, including prompt engineering, evaluation, and observability.

Agenta offers Prompt Engineering & Management, which organizes prompts so subject matter experts can collaborate with developers without modifying code and supports versioning, deployment, side-by-side prompt testing, and a playground for experimentation. Observability features include production monitoring, user feedback collection, debugging via traces, cost tracking, edge case identification, and annotation support. For collaboration, it enables non-developers to iterate on, evaluate, and deploy custom LLM applications entirely via the user interface. Compatibility wise, it works with any LLM app architecture (Chain of Prompts, RAG, LLM agents), integrates with popular frameworks like Langchain or LlamaIndex, and supports model providers such as OpenAI, Cohere, Anthropic, Gemini, OpenRouter, and local/self-hosted models like Ollama.

Yes, Agenta is MIT licensed and open source, allowing self-hosting, modification, and commercial use without restrictions.

You can quickly get started by using code templates provided by Agenta. Integration with your existing codebase typically takes under an hour. Agenta creates API endpoints to connect your workflows, and an SDK makes setup simple.

No. You can keep your production application hosted on your premises or your own environment and use Agenta solely for prompt engineering, evaluation, and configuration management. Agenta fetches the latest configuration to integrate with your app.

Detailed documentation and self-help resources are available online. Community support is provided via Slack (#05_support channel) during CEST hours. Feature suggestions and discussions are on GitHub Discussions.

Agenta offers options for self-hosting with Docker images. You can lock Agenta to specific versions for stability. The documentation contains troubleshooting tips for common deployment issues.

Agenta supports any OpenAI-compatible endpoint, including self-hosted and custom models (like Ollama). It also dynamically supports new providers such as OpenRouter, Anthropic, Gemini, and Cohere among others.

Specs

Type Agent
SectionInfrastructure & MLOps
Pricing paid (от $49/mo)
Platform Command line
Systems cli, web
Hostingself-hosted
Who forStartup
Complexitydeveloper
Site languageen
VendorMahmoud
GitHubagenta-ai/agenta
Rating0.00 (0 reviews)
Views2 057
Launched2024-11-29

Platforms

Source code

agenta-ai/agenta

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